Jun Lu

According to our database, Jun Lu authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Ordinal Unsupervised Domain Adaptation With Recursively Conditional Gaussian Imposed Variational Disentanglement.

Xiaofeng Liu, Site Li, Yubin Ge, Pengyi Ye, Jane You, Jun Lu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

2024

Subtype-Aware Dynamic Unsupervised Domain Adaptation.

Xiaofeng Liu, Fangxu Xing, Jane You, Jun Lu, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Transfer Learning with Knowledge Distillation for Urban Localization Using LTE Signals.

Disheng Li, Kai Zhao, Jun Lu, Yawei Zhang, Xiangdong An, Wee Peng Tay, Sirajudeen Gulam Razul

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

2022

Constraining pseudo-label in self-training unsupervised domain adaptation with energy-based model.

Lingsheng Kong, Bo Hu, Xiongchang Liu, Jun Lu, Jane You, Xiaofeng Liu

Int. J. Intell. Syst., 2022

Subtype-Aware Dynamic Unsupervised Domain Adaptation.

Xiaofeng Liu, Fangxu Xing, Jia You, Jun Lu, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

CoRR, 2022

2021

Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference.

Xiaofeng Liu, Bo Hu, Linghao Jin, Xu Han, Fangxu Xing, Jinsong Ouyang, Jun Lu, Georges El Fakhri, Jonghye Woo

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation.

Xiaofeng Liu, Site Li, Yubin Ge, Pengyi Ye, Jane You, Jun Lu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis.

Xiaofeng Liu, Xiongchang Liu, Bo Hu, Wenxuan Ji, Fangxu Xing, Jun Lu, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Unimodal regularized neuron stick-breaking for ordinal classification.

Xiaofeng Liu, Fangfang Fan, Lingsheng Kong, Zhihui Diao, Wanqing Xie, Jun Lu, Jane You

Neurocomputing, 2020

Identity-aware Facial Expression Recognition in Compressed Video.

Xiaofeng Liu, Linghao Jin, Xu Han, Jun Lu, Jane You, Lingsheng Kong

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Energy-constrained Self-training for Unsupervised Domain Adaptation.

Xiaofeng Liu, Bo Hu, Xiongchang Liu, Jun Lu, Jane You, Lingsheng Kong

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training.

Xiaofeng Liu, Yuzhuo Han, Song Bai, Yi Ge, Tianxing Wang, Xu Han, Site Li, Jane You, Jun Lu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis.

Xiaofeng Liu, Xu Han, Yukai Qiao, Yi Ge, Jun Lu

CoRR, 2019

Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis.

Xiaofeng Liu, Xu Han, Yukai Qiao, Yi Ge, Site Li, Jun Lu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019